Depression and association with diet diversity score among adolescent (14-19) students of Jimma town high school, Jimma, southwest Ethiopia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mekonnen Tsehay ◽  
Shimelis Girma ◽  
Almaz Mamaru ◽  
Mubarek Abera
Keyword(s):  
High School ◽  
Regression Analysis ◽  
Dietary Diversity ◽  
Linear Regression Analysis ◽  
Severe Depression ◽  
Depression Symptoms ◽  
Depression Severity ◽  
Content Type ◽  
Diet Diversity ◽  
Dietary Diversity Score

Purpose Dietary patterns are important for the physical and psychological development of adolescents. The purpose of this study is to determine magnitude and severity of depression and its relation with diet diversity score (DDS) among adolescent high school students. Design/methodology/approach A cross-sectional study was conducted among 546 adolescents selected from schools using multistage sampling technique. Dietary intakes were assessed using a 24-h dietary recall, and depression severity and prevalence were assessed by PHQ-9A. A structured questionnaire was used to collect data. Linear regression analysis was used, and unstandardized beta (ß) coefficients with 95% confidence intervals (CI) were computed to determine the association of depression and its severity with dietary diversity score. Findings In all, 546 questionnaires were filled completely and consistently making a response rate of 97.3%. The dietary diversity score in 97 (17.8%) of the adolescents were between 1 and 3 (low dietary diversity score) but 259 (47.4%) scored greater than 6 (high dietary diversity score). Chi-square test revealed that with a decrease in DDS from highest to lowest level, the percentage of moderate to severe and severe depression slightly increased (3.4%). In addition, the percentage of moderate to severe and severe depression who consumed meat, fish and milk and dairy products slightly increased (3% and 3.2%). Multivariate adjusted regression analysis demonstrated that dietary diversity score was found to be inversely associated with depression severity and prevalence. Originality/value It was found that linear association between diet diversity and depression severity, and prevalence after adjustment for relevant con-founders. The study provided epidemiological evidence of a robust association of dietary pattern with depression symptoms' severity and prevalence in adolescents.

Construction time prediction model for public building projects

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shambel Kifle Alemu
Keyword(s):  
Regression Analysis ◽  
Addis Ababa ◽  
Linear Regression Analysis ◽  
Research Work ◽  
Time Cost ◽  
Construction Time ◽  
Time Model ◽  
Building Projects ◽  
Public Building ◽  
Content Type

PurposeThe aim of the study was to develop a practical construction time model for public building projects in Addis Ababa, Ethiopia.Design/methodology/approachThis research work used regression analysis and also exploratory scatter and residual plot techniques. Simple and multiple regressions were used for the investigation of the best fit time model. The analyses were carried out using IBM SPSS statistical software, version 20.FindingsThe result revealed that the Bromilow time-cost principle was moderately applicable. However, the cubic regression model (CUB) was found a better time-cost relationship. On the contrary, the study has shown a poor relationship between actual time and gross floor area. Furthermore, multiple linear regression analysis (MLR) consists of three statistically significant variables were found a better fit time model.Research limitations/implicationsThe study is limited to only six project scope factors. Further research is recommended to include more building projects of similar type and implications of other factors to improve the reliability of the models.Practical implicationsThe developed model was not intended as a replacement for detailed construction scheduling techniques. The resulting model is applicable for front-end predictions of construction duration.Originality/valueThe main parties involved in the building projects should apply the model for benchmarking a precise construction time during the early planning phase.

scholarly journals Influence of Parents Attention, Emotional Intelligence and Learning Motivation to Learning Outcomes

2018 ◽  
Vol 3 (1) ◽  
pp. 72
Author(s):  
Wahyuni Ambarwati
Keyword(s):  
High School ◽  
Emotional Intelligence ◽  
Regression Analysis ◽  
Linear Regression ◽  
Learning Outcomes ◽  
Linear Regression Analysis ◽  
Student Learning Outcomes ◽  
Multiple Linear Regression Analysis ◽  
Learning Motivation ◽  
Motivation To Learn

In general this research is intended to build knowledge about the extent to which the attention of parents, emotional intelligence, motivation to learn effect student learning outcomes. Therefore, the authors make the title of research is "The Effect of Parents Attention, Emotional Intelligence and Learning Motivation of Learning Outcomes Learners Educate High School 4 Sampit at 2016/2017. The purpose of this study is to determine the effect of parents' attention, emotional intelligence and motivation to learn the outcomes of learners in SMA Negeri 4 Sampit at 2016/2017. The method used in this research is multiple linear regression analysis with 76 samples. The results showed that the attention of parents, emotional intelligence, and motivation to learn partially and simultaneously have a positive and significant impact on learning outcomes of learners.

Assessment of food security among households in Eastern Cape Province, South Africa

2018 ◽  
Vol 45 (1) ◽  
pp. 2-17 ◽  
Author(s):  
Ebenezer Toyin Megbowon ◽  
Abbyssinia Mushunje
Keyword(s):  
South Africa ◽  
Food Security ◽  
Poisson Regression ◽  
Dietary Diversity ◽  
Eastern Cape Province ◽  
Eastern Cape ◽  
Food Groups ◽  
Content Type ◽  
Dietary Diversity Score ◽  
Household Dietary Diversity

Purpose The purpose of this paper is to analyze food security status and its determinants among households in the Eastern Cape Province of South Africa. Design/methodology/approach The analysis is based on the General Household Survey which was conducted in 2014 where 3,033 households were sampled from the province. Specifically, this study examines the determinants of food security proxy by dietary diversity (24-hour recall) using descriptive statistics, Poisson regression. A frequency count of food groups consumed household dietary diversity score was used as the explained variable. Findings The descriptive analysis shows that, although 61.7 percent of households in the study area have a high dietary diversity score, however, food group giving micronutrients are less consumed as food groups having cereals (maize), beef, sugar and oil was mostly consumed. Results on the marginal effect of Poisson regression indicate that household head characteristics (age, gender, education, marital status, and employment status), pension receiving households and geographical location significantly influence household dietary diversity. Originality/value This study advocates for the intensification of rural development and food security programs, formal and informal education for household heads, female empowerment and dietary enlightenment for households in order to promote the consumption of diverse diets and more healthful food groups.

Preoperative cross functional teams improve OR performance

2015 ◽  
Vol 29 (3) ◽  
pp. 343-352 ◽  
Author(s):  
Justin Bitter ◽  
Elizabeth van Veen-Berkx ◽  
Pierre van Amelsvoort ◽  
Hein Gooszen
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Performance Indicator ◽  
Medical Center ◽  
Linear Regression Analysis ◽  
Content Type ◽  
Surgical Department ◽  
Stepwise Reduction ◽  
And Performance ◽  
Functional Teams

Purpose – The purpose of this paper is to present the effect of the introduction of cross-functional team (CFT)-based organization, rather than, on planning and performance of OR teams. Design/methodology/approach – In total, two surgical departments of the Radboud University Nijmegen Medical Center (RUNMC) in the Netherlands were selected to illustrate the effect on performance. Data were available for a total of seven consecutive years from 2005 until 2012 and consisted of 4,046 OR days for surgical Department A and 1,154 OR days for surgical Department B on which, respectively 8,419 and 5,295 surgical cases were performed. The performance indicator “raw utilization” of the two surgical Departments was presented as box-and-whisker plots per year (2005-2011). The relationship between raw utilization (y) and years (x) was analyzed with linear regression analysis, to observe if performance changed over time. Findings – Based on the linear regression analysis, raw utilization of surgical Department A showed a statistically significant increase since 2006. The variation in raw utilization reduced from IQR 33 percent in 2005 to IQR 8 percent in 2011. Surgical Department B showed that raw utilization increased since 2005. The variation in raw utilization reduced from IQR 21 percent in 2005 to IQR 8 percent in 2011. Social implications – Hospitals need to improve their productivity and efficiency in response to higher societal demands and rapidly escalating costs. The RUNMC increased their OR performance significantly by introduction of CFT-based organization in the operative process and abandoning the so called functional silos. Originality/value – The stepwise reduction of variation – a decrease of IQR during the years – indicates an organizational learning effect. This study demonstrates that introducing CFTs improve OR performance by working together as a team.

Comparing usage between dynamic and static e-reference collections

2015 ◽  
Vol 34 (3) ◽  
pp. 78-88 ◽  
Author(s):  
Alain R Lamothe
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Relationship ◽  
Reference Data ◽  
Linear Regression Analysis ◽  
Content Type ◽  
Dynamic Content ◽  
Reference Collection ◽  
Simple Count ◽  
Strong Linear Relationship

Purpose – The purpose of this article was to present the results of a quantitative analysis that compared usage levels between an e-reference collection that has experienced continual updated content and growth and an e-reference collection that has not experienced any recent changes. The aim of the study was to determine quantitatively if e-reference collections with dynamic content experience greater levels of usage compared to e-reference collections that are static in both size and content. Design/methodology/approach – E-reference data were separated into a dynamic collection and a static collection. Usage for e-reference belonging to the dynamic collection was compared to usage of e-reference belonging to the static collection. The number of e-reference was obtained by simple count. Additional statistics tracked include the number of viewings. A linear regression analysis was used to determine the strength of the linear relationship between collection size and usage. Findings – Results indicate that e-reference collections that continue to grow in both size and content also continue to experience year-to-year increases in usage. E-reference collections that remain static in size and content experienced a decline in usage. A linear regression analysis indicates the existence of an extremely strong linear relationship between dynamic content and usage. A weaker linear relationship was calculated for static content. Originality/value – To this author’s knowledge, this research is the first to systematically and quantitatively compare usage levels between e-reference titles from growing collections to collections that have not had any new titles added recently.

scholarly journals Establishing Depression Levels among Women Seeking Obstetric Fistula Treatment at Fistula CarePlus Supported Sites in Uganda

2018 ◽  
Vol 13 (2) ◽  
Author(s):  
Paul Kaduyu ◽  
Rose Makisa ◽  
Veronica Ibanda
Keyword(s):  
Obstetric Fistula ◽  
Severe Depression ◽  
Post Treatment ◽  
Depression Symptoms ◽  
Depression Severity ◽  
Keywords Depression ◽  
Before And After ◽  
Fistula Treatment ◽  
Nurses And Midwives

Aims:This paper reports on the magnitude of depression among women with Obstetric Fistula. Methods: Between June 2016 and December 2017, 10 nurses and midwives at four hospitals in Uganda (Hoima, Kamuli, Kitovu, and Jinja) were trained to evaluate depression among obstetric fistula clients using the PHQ-9 tool. The tool was scored at admission and at two weeks after surgery. Psychotherapy was provided after surgery. Depression severity was categorized from mild to severe and frequencies were tabulated. Scores from before and after treatment were compared in a subset of clients from Kamuli. Results:Obstetric Fistula clients (180) were assessed preoperatively for depression at Hoima (55), Kamuli (59), Kitovu (22), and Jinja (44). All clients at Hoima (15.2% mild, 24.5% moderate, 28.3% moderate to severe and 32% severe) and Kamuli (23.7% mild, 13.6% moderate, 27.1% moderate to severe and 35.6% severe) had depression before treatment and pyschotherapy. At Kitovu and Jinja depression levels were 81% (13.6% Minimal, 4.5% moderate, 36.4% moderately severe, 45.5% severe) and 84% (Mild 36.5%, Moderate -36.5%, Moderate to Severe-9.7%, severe depression-17.3%) respectively. Post treatment screening was conducted at Kamuli and all clients still had depression but of less severity (Mild -94.9%, Moderate -3.4%%, Moderate to Severe 1.7%, severe depression - 0). Conclusions:Clients with obstetric fistula have high levels of depression. Psychotherapy and surgery can mitigate depression symptoms. Keywords: depression, fistula, psychotherapy, surgery

scholarly journals Analisis Interaksi dan Perbedaan Pembelajaran Bersama dan Pembelajaran-Mandiri serta Motivasi terhadap Pengetahuan-diri pada Semester VII Sekolah Tinggi Ilmu Tarbiyah Raden Wijaya Mojokerto

2019 ◽  
Vol 2 (1) ◽  
pp. 51-56
Author(s):  
Mohammad Rodli
Keyword(s):  
High School ◽  
Regression Analysis ◽  
Hypothesis Test ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Analysis Techniques ◽  
Self Knowledge ◽  
The Difference ◽  
Self Learning ◽  
Learning Together

The purpose of this study are: 1) Describe the differences of self-knowledge with Learning together with self-learning in the seventh semester of Tarbiyah High School of Raden Wijaya Mojokerto. 2) Describe the difference of self-knowledge of high motivated and low motivated students in the seventh semester of Tarbiyah High School of Raden Wijaya Mojokerto 3) Describe the interaction between learning together with self-learning and self-knowledge motivation in semester VII Tarbiyah High School Tarriyah Raden Wijaya Mojokerto . The type of this research is survey type research with quantitative approach. Population as object of research is student of semester VII of Tarbiyah High School of Raden Wijaya Mojokerto, This research is included in research of comparative explanation. Data collection techniques used questionnaires, while data analysis techniques used multiple linear regression analysis, with hypothesis test using t test and F test. From the analysis result can be concluded as follows: 1) There is difference of self-knowledge with Learning together with self-learning. 2) There is no difference in self-knowledge that is highly motivated and students with low motivation. 3) There is an interaction between Learning along with self-learning as well as motivation to self-knowledge.

Socio-demographic influences on various consumer food safety indices: an empirical study of ethnic Goan pork sausage consumers

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Solomon Rajkumar ◽  
Renuka Nayar ◽  
Kavitha Rajagopal ◽  
Eaknath B. Chakurkar ◽  
Vismitha Shree Venkatesh ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Food Safety ◽  
Health Hazard ◽  
Linear Regression Analysis ◽  
Demographic Variables ◽  
Primary Data ◽  
Content Type ◽  
Pork Sausage ◽  
Cumulative Score ◽  
Safety Indices

PurposeThe purpose of this paper is to assess food safety knowledge, choice behavior and health hazard concerns of ethnic Goan pork sausage consumers through various consumer food safety indices and also to evaluate socio-demographic influences on various consumer food safety indices.Design/methodology/approachPrimary data in the form of 210 questionnaire responses were collected from Goan pork sausage consumers. Based on the responses, seven various consumer food safety indices were derived. The cumulative score of all the indices were normalized (0–1). The association between socio-demographic variables and consumer indices were evaluated using linear regression analysis, Pearson's correlation matrix, principal component analysis (PCA) and correspondence analysis (CA).FindingsThe results of the analysis indicate that the consumption of Goan pork sausages is most prevalent amongst younger people with high education having higher income. A majority of consumers have high score for the four consumer indices. The results of correlation analysis, regression analysis, PCA and CA revealed a significant association of consumer indices with socio-demographic variables.Originality/valueThe results of this study will provide a way forward for the evaluation of existing overall food safety concerns in the target population and in the future would be used for the promotion of good handling practices and health of Goan pork sausage consumers.

Wavelet and multiple linear regression analysis for identifying factors affecting particulate matter PM2.5 in Mumbai City, India

2019 ◽  
Vol 36 (10) ◽  
pp. 1750-1783 ◽  
Author(s):  
Vivekanand Venkataraman ◽  
Syed Usmanulla ◽  
Appaiah Sonnappa ◽  
Pratiksha Sadashiv ◽  
Suhaib Soofi Mohammed ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Control Measures ◽  
Data Set ◽  
Content Type ◽  
Factors Affecting ◽  
Significant Factors

Purpose The purpose of this paper is to identify significant factors of environmental variables and pollutants that have an effect on PM2.5 through wavelet and regression analysis. Design/methodology/approach In order to provide stable data set for regression analysis, multiresolution analysis using wavelets is conducted. For the sampled data, multicollinearity among the independent variables is removed by using principal component analysis and multiple linear regression analysis is conducted using PM2.5 as a dependent variable. Findings It is found that few pollutants such as NO2, NOx, SO2, benzene and environmental factors such as ambient temperature, solar radiation and wind direction affect PM2.5. The regression model developed has high R2 value of 91.9 percent, and the residues are stationary and not correlated indicating a sound model. Research limitations/implications The research provides a framework for extracting stationary data and other important features such as change points in mean and variance, using the sample data for regression analysis. The work needs to be extended across all areas in India and for various other stationary data sets there can be different factors affecting PM2.5. Practical implications Control measures such as control charts can be implemented for significant factors. Social implications Rules and regulations can be made more stringent on the factors. Originality/value The originality of this paper lies in the integration of wavelets with regression analysis for air pollution data.

Comparing usage between a Dynamic and a Static e-monograph Collection

2015 ◽  
Vol 34 (1) ◽  
pp. 17-26 ◽  
Author(s):  
Alain R Lamothe
Keyword(s):  
Regression Analysis ◽  
Quantitative Analysis ◽  
Linear Regression ◽  
Linear Relationship ◽  
Design Methodology ◽  
Linear Regression Analysis ◽  
Content Type ◽  
Dynamic Content ◽  
Simple Count ◽  
Strong Linear Relationship

Purpose – The purpose of this paper is to present the results from a quantitative analysis comparing usage levels between an e-monograph collection that has experienced continual growth and an e-monograph collection that has not experienced any recent growth whatsoever. The aim of the study was to determine quantitatively if e-monograph collections with dynamic content experience greater levels of usage compared to e-monograph collections that are static in both size and content. Design/methodology/approach – E-monograph data were separated into a Dynamic and a Static Collection. Usage for e-monographs belonging to the Dynamic Collection was compared to usage of e-monographs belonging to the Static Collection. The number of e-monographs was obtained by simple count. Additional statistics tracked include the number of viewings. A linear regression analysis was used to determine the strength of the linear relationship between collection size and usage. Findings – Results indicate that e-monograph collections that continue to grow in both size and content also continue to experience year-to-year increases in usage, whereas e-monograph collections that remain static in size and content experience a decline in usage. A linear regression analysis indicates the existence of a very strong linear relationship that exists between Dynamic Collection size and usage. A weaker linear relationship was calculated for Static Collection size and usage. Originality/value – This research is one of very few studies systematically and quantitatively comparing usage levels between e-monographs from growing collections to collections that have not had any new titles added recently.

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